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Ilbin Lee
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2020 – today
- 2022
- [j6]Stewart Curry, Ilbin Lee, Simin Ma, Nicoleta Serban:
Global sensitivity analysis via a statistical tolerance approach. Eur. J. Oper. Res. 296(1): 44-59 (2022) - [j5]Yuchen Zheng, Yujia Xie, Ilbin Lee, Amin Dehghanian, Nicoleta Serban:
Parallel subgradient algorithm with block dual decomposition for large-scale optimization. Eur. J. Oper. Res. 299(1): 60-74 (2022) - [c1]Chenjun Xiao, Ilbin Lee, Bo Dai, Dale Schuurmans, Csaba Szepesvári:
The Curse of Passive Data Collection in Batch Reinforcement Learning. AISTATS 2022: 8413-8438 - 2021
- [i1]Chenjun Xiao, Ilbin Lee, Bo Dai, Dale Schuurmans, Csaba Szepesvári:
On the Sample Complexity of Batch Reinforcement Learning with Policy-Induced Data. CoRR abs/2106.09973 (2021)
2010 – 2019
- 2019
- [j4]Ilbin Lee, Stewart Curry, Nicoleta Serban:
Solving Large Batches of Linear Programs. INFORMS J. Comput. 31(2): 302-317 (2019) - 2018
- [j3]Yuchen Zheng, Ilbin Lee, Nicoleta Serban:
Regularized optimization with spatial coupling for robust decision making. Eur. J. Oper. Res. 270(3): 898-906 (2018) - 2017
- [j2]Ilbin Lee, Marina A. Epelman, H. Edwin Romeijn, Robert L. Smith:
Simplex Algorithm for Countable-State Discounted Markov Decision Processes. Oper. Res. 65(4): 1029-1042 (2017) - 2014
- [j1]Ilbin Lee, Marina A. Epelman, H. Edwin Romeijn, Robert L. Smith:
Extreme point characterization of constrained nonstationary infinite-horizon Markov decision processes with finite state space. Oper. Res. Lett. 42(3): 238-245 (2014)
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